Abstract Brain-Computer Interaction (BCI) system intelligence has become more dependent
on electroencephalogram (EEG)-based emotion recognition because of the numerous …

Recently, electroencephalogram-based emotion recognition has become crucial in enabling
the Human-Computer Interaction (HCI) system to become more intelligent. Due to the …

The high temporal resolution and the asymmetric spatial activations are essential attributes
of electroencephalogram (EEG) underlying emotional processes in the brain. To learn the …

Since the publication of the first neuroscience study investigating emotion with music about
two decades ago, the number of functional neuroimaging studies published on this topic has …

Construction noise can affect human health and wellbeing through its negative effects on
emotions. This study used EEG data to investigate the effects of different types and levels of …

Frontal alpha asymmetry refers to the difference between the right and left alpha activity over
the frontal brain region. Increased activity in the left hemisphere has been linked to …

Neural decoding models can be used to decode neural representations of visual, acoustic,
or semantic information. Recent studies have demonstrated neural decoders that are able to …

Music has the capacity to elicit strong positive feelings in humans by activating the brain's
reward system. Because group emotional dynamics is a central concern of social …

Brain network analysis is one efficient tool in exploring human brain diseases and can
differentiate the alterations from comparative networks. The alterations account for time …

To what extent electrocorticography (ECoG) and electroencephalography (scalp EEG) differ
in their capability to locate sources of deep brain activity is far from evident. Compared to …